<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_41663215的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_41663215</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_41663215]]></copyright><item><title><![CDATA[使用pyinstaller打包python文件遇到的问题和解决方法]]></title><link>https://blog.youkuaiyun.com/qq_41663215/article/details/129081322</link><guid>https://blog.youkuaiyun.com/qq_41663215/article/details/129081322</guid><author>qq_41663215</author><pubDate>Fri, 17 Feb 2023 13:12:45 +0800</pubDate><description><![CDATA[如何使用pyinstaller打包py文件为exe]]></description><category></category></item><item><title><![CDATA[【Pyside6在tableview中给某一些指定的cell设置QComboBox】]]></title><link>https://blog.youkuaiyun.com/qq_41663215/article/details/128481160</link><guid>https://blog.youkuaiyun.com/qq_41663215/article/details/128481160</guid><author>qq_41663215</author><pubDate>Thu, 29 Dec 2022 15:08:26 +0800</pubDate><description><![CDATA[pyside6中给Tableview的某个单元格添加特殊控件&加载ui文件的相关问题]]></description><category></category></item><item><title><![CDATA[生成DLL的三种方式]]></title><link>https://blog.youkuaiyun.com/qq_41663215/article/details/127869908</link><guid>https://blog.youkuaiyun.com/qq_41663215/article/details/127869908</guid><author>qq_41663215</author><pubDate>Tue, 15 Nov 2022 18:25:04 +0800</pubDate><description><![CDATA[如何创建dll文件]]></description><category></category></item><item><title><![CDATA[关于核磁共振图像的命名原则及含义（总结自用）]]></title><link>https://blog.youkuaiyun.com/qq_41663215/article/details/120122970</link><guid>https://blog.youkuaiyun.com/qq_41663215/article/details/120122970</guid><author>qq_41663215</author><pubDate>Sun, 05 Sep 2021 22:52:20 +0800</pubDate><description><![CDATA[核磁共振图像的命名中，一般会包含所用信号序列、图像方向、水图/脂肪图等信息。
比如：
3D_GRE_TRA_bh_F_COMPOSED、t1_tse_tra_fs_pelvis

GRE/TSE: 表明共振序列，GRE是梯度回波，TSE是自选回波。
详细解释间参考连接：
https://mp.weixin.qq.com/s?__biz=MzI1NzU4Njg2OQ==&amp;mid=2247484611&amp;idx=1&amp;sn=5babba0e5fab0cd1624b3a8f5ace958e&a]]></description><category></category></item><item><title><![CDATA[训练神经网络时train loss或是validation loss出现nan]]></title><link>https://blog.youkuaiyun.com/qq_41663215/article/details/119963117</link><guid>https://blog.youkuaiyun.com/qq_41663215/article/details/119963117</guid><author>qq_41663215</author><pubDate>Sat, 28 Aug 2021 03:57:00 +0800</pubDate><description><![CDATA[最近使用带有SE block的网络在pytorch框架下做训练。training loss 随着epoch增多不断下降，但是突然到某一个epoch出现loss为nan的情况，但是两三个epoch之后，loss竟然又恢复正常，而且下降了。
这几篇博客是我debug的借鉴，真的非常有用。
这篇介绍了出现nan的基本解决思路。
https://blog.youkuaiyun.com/qq_32799915/article/details/80612342
这篇介绍了为什么在多层dense layer之后某一层dense la]]></description><category></category></item><item><title><![CDATA[读取和保存nifti图像之nibabel与SimpleITK的区别]]></title><link>https://blog.youkuaiyun.com/qq_41663215/article/details/119096349</link><guid>https://blog.youkuaiyun.com/qq_41663215/article/details/119096349</guid><author>qq_41663215</author><pubDate>Mon, 26 Jul 2021 05:58:29 +0800</pubDate><description><![CDATA[nibabel读取.nii或.nii.gz


import nibabel as nib

file_path = '/home/.../motion_102_0000.nii.gz' # file suffix can also be .nii

data = nib.load(file_path)

voxel_ndarray = data.get_fdata() #读取成numpy array

print(voxel_ndarray.shape)

output:


(x,y,z), 如（19.]]></description><category></category></item></channel></rss>